{"id":"W3165992805","doi":"10.1111/wrr.12955","title":"Engineered microenvironment for the study of myofibroblast mechanobiology","year":2021,"lang":"en","type":"article","venue":"Wound Repair and Regeneration","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Programs for Assessment of Technology in Health Research Institute","funders":"National Institute of Biomedical Imaging and Bioengineering; National Heart, Lung, and Blood Institute; Korea National Institute of Health","keywords":"Mechanobiology; Myofibroblast; Mechanosensitive channels; Extracellular matrix; Cell biology; Mechanotransduction; Cell culture; Cell migration; Biology; Fibrosis; Pathology; Medicine; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002187773,0.0003579896,0.0002898669,0.000308289,0.0001527155,0.0004753787,0.0002444185,0.0004182318,0.0006752638],"category_scores_gemma":[0.0001250123,0.0001685865,0.0002611458,0.0002402548,0.0002591459,0.0003748667,0.0003723648,0.0005370583,0.0003292679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002415193,"about_ca_system_score_gemma":0.0002134674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000213835,"about_ca_topic_score_gemma":0.0004020666,"domain_scores_codex":[0.9998614,0.0000280083,0.00001117239,0.00002574651,0.00005562009,0.00001796208],"domain_scores_gemma":[0.9999213,0.00002505935,0.00002366772,0.000008161425,0.00001002604,0.00001176857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002034999,0.00003206655,0.0001859985,0.0002864785,0.000009260743,0.0002024738,0.00003049924,0.0007786966,0.9844882,0.004546653,0.0002312972,0.009187887],"study_design_scores_gemma":[0.00002206427,0.00038728,0.002212487,0.0001655608,0.00006255684,0.00200885,0.0000802846,0.006751688,0.8729519,0.003093106,0.1122243,0.00003995029],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.377465,0.2163981,0.3841853,0.001063488,0.001011499,0.000316198,0.001051334,0.0006636907,0.01784536],"genre_scores_gemma":[0.6776369,0.1132576,0.1990874,0.0006294997,0.0002721335,0.0004888458,0.0009531586,0.0001285563,0.007545914],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0006752638,"threshold_uncertainty_score":0.002258956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00845315983391314,"score_gpt":0.2216979975992081,"score_spread":0.2132448377652949,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}